Wavelet-based fingerprint region selection

  • Authors:
  • Almudena Lindoso;Luis Entrena;Judith Liu-Jimenez

  • Affiliations:
  • University Carlos III of Madrid, Electronic Technology Department, Madrid, Spain;University Carlos III of Madrid, Electronic Technology Department, Madrid, Spain;University Carlos III of Madrid, Electronic Technology Department, Madrid, Spain

  • Venue:
  • CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
  • Year:
  • 2007

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Abstract

In this paper a novel approach for detecting fingerprint regions with relevant information is presented. This method is based on the capability of the wavelet transform to select image information considering at the same time spatial and frequency domains. The method has been tested with two fingerprint data bases providing excellent results. With this method the fingerprint core can be detected and also the background can be detached, providing an efficient region selection for any feature extraction method, preprocessing and matching algorithms.